Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study.

Dhou, Salam; Alkhodari, Mohanad; Ionascu, Dan; Williams, Christopher; Lewis, John H.

Afiliação

Dhou S; Department of Computer Science and Engineering, College of Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.
Alkhodari M; Healthcare Engineering Innovation Center (HEIC), Department of Biomedical Engineering, Khalifa University, Abu Dhabi 127788, United Arab Emirates.
Ionascu D; Department of Radiation Oncology, College of Medicine, University of Cincinnati, Cincinnati, OH 45267, USA.
Williams C; Department of Radiation Oncology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Lewis JH; Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

J Imaging ; 8(2)2022 Jan 18.

Article em En | MEDLINE | ID: mdl-35200720

Palavras-chave

image-guided radiation therapy (IGRT); lung cancer; motion model; principal component analysis (PCA); respiratory-correlated four-dimensional cone-beam CT (4D-CBCT); stereotactic body radiotherapy (SBRT)

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article